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65match
juliedrinkscoffee.com
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2 co-citations4 shared tech1 shared categorymusic
64match
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2 co-citations4 shared tech1 shared categorymusic
64match
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63match
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2 co-citations4 shared tech1 shared categorymusic
61match
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1 co-citations4 shared tech1 shared categoryrock-music
60match
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60match
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1 co-citations4 shared tech1 shared categorymusic
60match
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1 co-citations4 shared tech1 shared categorymusic
60match
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1 co-citations4 shared tech1 shared categorymusic
60match
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1 co-citations4 shared tech1 shared categorymusic
59match
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59match
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1 co-citations4 shared tech1 shared categorymusic
59match
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1 co-citations4 shared tech1 shared categorymusic
58match
kenshibata.com
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1 co-citations4 shared tech1 shared categorydance-and-electronic-music
57match
booglarecords.com
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2 co-citations4 shared tech1 shared categorymusic
57match
boxofrocksmusic.com
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2 co-citations4 shared tech0 shared categorycountry-music
56match
afterhoursbandus.com
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55match
jaredsagemusic.com
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How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.